{"id":8540467364180,"title":"Módulo NVIDIA Jetson ORIN NX 16GB","handle":"nvidia-jetson-orin-nx-16gb","description":"\u003cdiv id=\"buildify\" class=\"buildify buildify-8540467364180\"\u003e\n\u003cdiv class=\"bdf-innr\"\u003e\n\u003cdiv class=\"bdf-s-wrp\"\u003e\n\u003csection data-id=\"ywqzfdc\" class=\"bdf-e bdf-e-ywqzfdc bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"awuaawd\" class=\"bdf-e bdf-e-awuaawd bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"lfuzqeo\" class=\"bdf-e bdf-e-lfuzqeo bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eNVIDIA JETSON ORIN NX 16GB\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"j30ku10\" class=\"bdf-e bdf-e-j30ku10 bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003ch2 class=\"bdf-h-t bdf-sz-small\"\u003eP\/N 900-13767-0000-001\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"uwgwdpp\" class=\"bdf-e bdf-e-uwgwdpp bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eJetson Orin NX 16GB\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection data-id=\"dzrjrze\" class=\"bdf-e bdf-e-dzrjrze bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"jachcmk\" class=\"bdf-e bdf-e-jachcmk bdf-c bdf-c-s-100 bdf-inner-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"ulccafn\" class=\"bdf-e bdf-e-ulccafn bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e1024-core NVIDIA Ampere\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003earchitecture GPU with 32 tensor cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e1x NVDLA v2.0\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e6-core Arm® Cortex®-A78AE v8.2 64-bit CPU\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e16GB 128-bit LPDDR5\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cdiv data-id=\"vegfcxn\" class=\"bdf-e bdf-e-vegfcxn bdf-tbs-v-horizontal bdf-w bdf-w-tabs\" data-el=\"tabs.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-tbs bdf-rcv-tb-w\" role=\"tablist\"\u003e\n\u003cdiv class=\"bdf-tbs-wrp\" role=\"tab\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"2\"\u003eCaracterísticas\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"3\"\u003eEspecificações Técnicas\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tbs-cnt-wrp bdf-rcv-tb-wrp\" role=\"tabpanel\"\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-kfp0noq\" data-tab=\"1\"\u003e\n\u003csection data-id=\"kxfflkj\" class=\"bdf-e bdf-e-kxfflkj bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"qkyonbf\" class=\"bdf-e bdf-e-qkyonbf bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"heduntc\" class=\"bdf-e bdf-e-heduntc bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp\u003eThe NVIDIA Jetson Orin NX 16GB module delivers up to 1000 TOPS of AI performance in the smallest Jetson form-factor, with power configurable between 10W and 25W. This gives you more than 3X the performance of NVIDIA Jetson AGX Xavier and 5X the performance of NVIDIA Jetson Xavier NX, making it ideal for small form-factor, low-power products like drones and handheld devices.\u003cbr\u003e\u003cbr\u003eThis system-on-module supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.\u003cbr\u003e\u003cbr\u003eJetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac for robotics, Deep Stream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC catalog.\u003cbr\u003e\u003cbr\u003eJetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.\u003cbr\u003e\u003cbr\u003eJetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your route-to-market has never been faster.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"fsp1huf\" class=\"bdf-e bdf-e-fsp1huf bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp\u003eLearn more at \u003ca title=\"JetsonAGXOrin\" href=\"http:\/\/www.nvidia.com\/JetsonAGXOrin\" rel=\"noopener\" target=\"_blank\"\u003ewww.nvidia.com\/JetsonAGXOrin\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"2\"\u003eCaracterísticas\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-7vgp5wl\" data-tab=\"2\"\u003e\n\u003csection data-id=\"haftjei\" class=\"bdf-e bdf-e-haftjei bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"jmdodcv\" class=\"bdf-e bdf-e-jmdodcv bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"exszroe\" class=\"bdf-e bdf-e-exszroe bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr class=\"row-1 odd\"\u003e\n\u003cth class=\"column-1\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-2\"\u003e\u003cstrong\u003eJetson AGX Xavier\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-3\"\u003e\n\u003cstrong\u003eJetson Orin NX 8GB \u003c\/strong\u003e\u003cstrong\u003e(coming soon)\u003c\/strong\u003e\n\u003c\/th\u003e\n\u003cth class=\"column-4\"\u003e\u003cstrong\u003eJetson Orin NX 16GB\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-5\"\u003e\u003cstrong\u003eJetson AGX Orin 32GB\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-6\"\u003e\u003cstrong\u003eJetson AGX Orin 64GB\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctbody class=\"row-hover\"\u003e\n\u003ctr class=\"row-2 even\"\u003e\n\u003ctd class=\"column-1\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e32 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e70 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e100 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e200 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e275 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-3 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eGPU\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e512 Core Volta, with 64 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e1024 Core Ampere, with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e1024 Core Ampere, with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e1792 Core Ampere, with 56 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e2048 Core Ampere, with 64 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-4 even\"\u003e\n\u003ctd class=\"column-1\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e(2x) NVDLA\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e(1x) NVDLA V2.0\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e(2x) NVDLA V2.0\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e(2x) NVDLA V2.0\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e(2x) NVDLA V2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-5 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e(2x) 7-way VLIW Processor\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003ePVA v2.0\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003ePVA v2.0\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e(2x) 7-way VLIW Processor\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e(2x) 7-way VLIW Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-6 even\"\u003e\n\u003ctd class=\"column-1\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e8 core Carmel ARM CPU\u003cbr\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e6-core Arm Cortex-A78AE\u003cbr\u003e1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e8-core Arm Cortex-A78AE\u003cbr\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e8 core Arm Cortex-A78AE\u003cbr\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e12 core Arm Cortex-A78AE\u003cbr\u003e3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-7 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eMemory\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e16GB 256-bit LPDDR4x @ 2133MHz\u003cbr\u003e137 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e8GB 128-bit LPDDR5 @ 2133 HMz\u003cbr\u003e102.4 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e16GB 128-bit LPDDR5 @ 2133 HMz\u003cbr\u003e102.4 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e32GB 256-bit LPDDR5 @ 2133MHz\u003cbr\u003e205 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e64GB 256-bit LPDDR5 @ 2133MHz\u003cbr\u003e205 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-8 even\"\u003e\n\u003ctd class=\"column-1\"\u003eStorage\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e32GB\/64GB eMMC\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e64GB eMMC\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e64GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-9 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e2x8K @30 | 6x4K @60 | 12x4K @30 | 26x1080p @60 | 52x1080p @30 (HEVC) | 30x1080p @30 (H.264)\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, AV1\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-10 even\"\u003e\n\u003ctd class=\"column-1\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e(2x) 8Kp30 \/ (6x) 4Kp60\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 |\u003cbr\u003e18x 1080p30 (H.265) H.264, H.265, VP9, AV1\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 |\u003cbr\u003e18x 1080p30 (H.265) H.264, H.265, VP9, AV1\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60| 22x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-11 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eCamera\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e16 lanes MIPI CSI-2 | 8 lanes SLVS-EC\u003cbr\u003eD-PHY 40Gbps \/ C-PHY 109Gbps\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003eUp to 4 cameras (8 via virtual channels*)\u003cbr\u003e8 lanes MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (20 Gbps)\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003eUp to 4 cameras (8 via virtual channels*)\u003cbr\u003e8 lanes MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (20 Gbps)\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e16 lane MIPI CSI-2 connector\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e16 lane MIPI CSI-2 connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-13 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eMechanical\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e100mm x 87mm\u003cbr\u003e699 pin connector\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e69.6mm x 45mm\u003cbr\u003e260-pin connector\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e69.6mm x 45mm\u003cbr\u003e260-pin connector\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e100mm x 87mm\u003cbr\u003e699 pin connector\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e100mm x 87mm\u003cbr\u003e699 pin connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-14 even\"\u003e\n\u003ctd class=\"column-1\"\u003ePower\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e10W \/ 15W \/ 30W\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e10W \/ 15W \/ 20W\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e10W \/ 15W \/ 25W\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e15W - 40W\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e15W - 60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"3\"\u003eEspecificações Técnicas\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-cfsb7j4\" data-tab=\"3\"\u003e\n\u003csection data-id=\"1ozxxlg\" class=\"bdf-e bdf-e-1ozxxlg bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"xm6dfnn\" class=\"bdf-e bdf-e-xm6dfnn bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"5p5zzu3\" class=\"bdf-e bdf-e-5p5zzu3 bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003ctable border=\"0\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv id=\"ProductDetail_ExtInfo_div\"\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere architecture with 1024 NVIDIA CUDA cores and 32 Tensor cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003cbr\u003e1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd\u003e1x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 102.4 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eSupports external NVMe via PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e10W - 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMechanical\u003c\/td\u003e\n\u003ctd\u003e45 mm x 69.6 mm\u003cbr\u003e260 pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-y94g1tg\" data-tab=\"4\"\u003e\n\u003csection data-id=\"gkncdjw\" class=\"bdf-e bdf-e-gkncdjw bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"jmazoxr\" class=\"bdf-e bdf-e-jmazoxr bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"rnmjjsw\" class=\"bdf-e bdf-e-rnmjjsw bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/jetson-orin-nx-datasheet-nvidia-us-web-2605318-5.pdf?v=1695204457\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eDatasheet\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"ff3v58i\" class=\"bdf-e bdf-e-ff3v58i bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/downloads\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct Download\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"wnxmedk\" class=\"bdf-e bdf-e-wnxmedk bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/forums.developer.nvidia.com\/c\/agx-autonomous-machines\/jetson-embedded-systems\/70\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct FAQ\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"7j4k7vo\" class=\"bdf-e bdf-e-7j4k7vo bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/tools\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTools\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"pt6hogd\" class=\"bdf-e bdf-e-pt6hogd bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/learn\/tutorials\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTutoriais\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","published_at":"2023-09-20T11:48:20+01:00","created_at":"2023-09-20T11:43:14+01:00","vendor":"NVIDIA","type":"Módulos NVIDIA","tags":[],"price":69800,"price_min":69800,"price_max":69800,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":46947245490516,"title":"Default Title","option1":"Default 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id=\"buildify\" class=\"buildify buildify-8540467364180\"\u003e\n\u003cdiv class=\"bdf-innr\"\u003e\n\u003cdiv class=\"bdf-s-wrp\"\u003e\n\u003csection data-id=\"ywqzfdc\" class=\"bdf-e bdf-e-ywqzfdc bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"awuaawd\" class=\"bdf-e bdf-e-awuaawd bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"lfuzqeo\" class=\"bdf-e bdf-e-lfuzqeo bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eNVIDIA JETSON ORIN NX 16GB\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"j30ku10\" class=\"bdf-e bdf-e-j30ku10 bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003ch2 class=\"bdf-h-t bdf-sz-small\"\u003eP\/N 900-13767-0000-001\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"uwgwdpp\" class=\"bdf-e bdf-e-uwgwdpp bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eJetson Orin NX 16GB\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003csection data-id=\"dzrjrze\" class=\"bdf-e bdf-e-dzrjrze bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"jachcmk\" class=\"bdf-e bdf-e-jachcmk bdf-c bdf-c-s-100 bdf-inner-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"ulccafn\" class=\"bdf-e bdf-e-ulccafn bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e1024-core NVIDIA Ampere\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003earchitecture GPU with 32 tensor cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e1x NVDLA v2.0\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e6-core Arm® Cortex®-A78AE v8.2 64-bit CPU\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e16GB 128-bit LPDDR5\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003cdiv data-id=\"vegfcxn\" class=\"bdf-e bdf-e-vegfcxn bdf-tbs-v-horizontal bdf-w bdf-w-tabs\" data-el=\"tabs.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-tbs bdf-rcv-tb-w\" role=\"tablist\"\u003e\n\u003cdiv class=\"bdf-tbs-wrp\" role=\"tab\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"2\"\u003eCaracterísticas\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"3\"\u003eEspecificações Técnicas\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tbs-cnt-wrp bdf-rcv-tb-wrp\" role=\"tabpanel\"\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-kfp0noq\" data-tab=\"1\"\u003e\n\u003csection data-id=\"kxfflkj\" class=\"bdf-e bdf-e-kxfflkj bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"qkyonbf\" class=\"bdf-e bdf-e-qkyonbf bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"heduntc\" class=\"bdf-e bdf-e-heduntc bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp\u003eThe NVIDIA Jetson Orin NX 16GB module delivers up to 1000 TOPS of AI performance in the smallest Jetson form-factor, with power configurable between 10W and 25W. This gives you more than 3X the performance of NVIDIA Jetson AGX Xavier and 5X the performance of NVIDIA Jetson Xavier NX, making it ideal for small form-factor, low-power products like drones and handheld devices.\u003cbr\u003e\u003cbr\u003eThis system-on-module supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.\u003cbr\u003e\u003cbr\u003eJetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac for robotics, Deep Stream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC catalog.\u003cbr\u003e\u003cbr\u003eJetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.\u003cbr\u003e\u003cbr\u003eJetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your route-to-market has never been faster.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"fsp1huf\" class=\"bdf-e bdf-e-fsp1huf bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp\u003eLearn more at \u003ca title=\"JetsonAGXOrin\" href=\"http:\/\/www.nvidia.com\/JetsonAGXOrin\" rel=\"noopener\" target=\"_blank\"\u003ewww.nvidia.com\/JetsonAGXOrin\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"2\"\u003eCaracterísticas\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-7vgp5wl\" data-tab=\"2\"\u003e\n\u003csection data-id=\"haftjei\" class=\"bdf-e bdf-e-haftjei bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"jmdodcv\" class=\"bdf-e bdf-e-jmdodcv bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"exszroe\" class=\"bdf-e bdf-e-exszroe bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr class=\"row-1 odd\"\u003e\n\u003cth class=\"column-1\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-2\"\u003e\u003cstrong\u003eJetson AGX Xavier\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-3\"\u003e\n\u003cstrong\u003eJetson Orin NX 8GB \u003c\/strong\u003e\u003cstrong\u003e(coming soon)\u003c\/strong\u003e\n\u003c\/th\u003e\n\u003cth class=\"column-4\"\u003e\u003cstrong\u003eJetson Orin NX 16GB\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-5\"\u003e\u003cstrong\u003eJetson AGX Orin 32GB\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth class=\"column-6\"\u003e\u003cstrong\u003eJetson AGX Orin 64GB\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctbody class=\"row-hover\"\u003e\n\u003ctr class=\"row-2 even\"\u003e\n\u003ctd class=\"column-1\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e32 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e70 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e100 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e200 TOPS\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e275 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-3 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eGPU\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e512 Core Volta, with 64 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e1024 Core Ampere, with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e1024 Core Ampere, with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e1792 Core Ampere, with 56 Tensor Cores\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e2048 Core Ampere, with 64 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-4 even\"\u003e\n\u003ctd class=\"column-1\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e(2x) NVDLA\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e(1x) NVDLA V2.0\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e(2x) NVDLA V2.0\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e(2x) NVDLA V2.0\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e(2x) NVDLA V2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-5 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e(2x) 7-way VLIW Processor\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003ePVA v2.0\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003ePVA v2.0\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e(2x) 7-way VLIW Processor\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e(2x) 7-way VLIW Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-6 even\"\u003e\n\u003ctd class=\"column-1\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e8 core Carmel ARM CPU\u003cbr\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e6-core Arm Cortex-A78AE\u003cbr\u003e1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e8-core Arm Cortex-A78AE\u003cbr\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e8 core Arm Cortex-A78AE\u003cbr\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e12 core Arm Cortex-A78AE\u003cbr\u003e3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-7 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eMemory\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e16GB 256-bit LPDDR4x @ 2133MHz\u003cbr\u003e137 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e8GB 128-bit LPDDR5 @ 2133 HMz\u003cbr\u003e102.4 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e16GB 128-bit LPDDR5 @ 2133 HMz\u003cbr\u003e102.4 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e32GB 256-bit LPDDR5 @ 2133MHz\u003cbr\u003e205 GB\/s\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e64GB 256-bit LPDDR5 @ 2133MHz\u003cbr\u003e205 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-8 even\"\u003e\n\u003ctd class=\"column-1\"\u003eStorage\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e32GB\/64GB eMMC\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e64GB eMMC\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e64GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-9 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e2x8K @30 | 6x4K @60 | 12x4K @30 | 26x1080p @60 | 52x1080p @30 (HEVC) | 30x1080p @30 (H.264)\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, AV1\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-10 even\"\u003e\n\u003ctd class=\"column-1\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e(2x) 8Kp30 \/ (6x) 4Kp60\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 |\u003cbr\u003e18x 1080p30 (H.265) H.264, H.265, VP9, AV1\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 |\u003cbr\u003e18x 1080p30 (H.265) H.264, H.265, VP9, AV1\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60| 22x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-11 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eCamera\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e16 lanes MIPI CSI-2 | 8 lanes SLVS-EC\u003cbr\u003eD-PHY 40Gbps \/ C-PHY 109Gbps\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003eUp to 4 cameras (8 via virtual channels*)\u003cbr\u003e8 lanes MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (20 Gbps)\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003eUp to 4 cameras (8 via virtual channels*)\u003cbr\u003e8 lanes MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (20 Gbps)\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e16 lane MIPI CSI-2 connector\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e16 lane MIPI CSI-2 connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-13 odd\"\u003e\n\u003ctd class=\"column-1\"\u003eMechanical\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e100mm x 87mm\u003cbr\u003e699 pin connector\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e69.6mm x 45mm\u003cbr\u003e260-pin connector\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e69.6mm x 45mm\u003cbr\u003e260-pin connector\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e100mm x 87mm\u003cbr\u003e699 pin connector\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e100mm x 87mm\u003cbr\u003e699 pin connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row-14 even\"\u003e\n\u003ctd class=\"column-1\"\u003ePower\u003c\/td\u003e\n\u003ctd class=\"column-2\"\u003e10W \/ 15W \/ 30W\u003c\/td\u003e\n\u003ctd class=\"column-3\"\u003e10W \/ 15W \/ 20W\u003c\/td\u003e\n\u003ctd class=\"column-4\"\u003e10W \/ 15W \/ 25W\u003c\/td\u003e\n\u003ctd class=\"column-5\"\u003e15W - 40W\u003c\/td\u003e\n\u003ctd class=\"column-6\"\u003e15W - 60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"3\"\u003eEspecificações Técnicas\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-cfsb7j4\" data-tab=\"3\"\u003e\n\u003csection data-id=\"1ozxxlg\" class=\"bdf-e bdf-e-1ozxxlg bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"xm6dfnn\" class=\"bdf-e bdf-e-xm6dfnn bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"5p5zzu3\" class=\"bdf-e bdf-e-5p5zzu3 bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003ctable border=\"0\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv id=\"ProductDetail_ExtInfo_div\"\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere architecture with 1024 NVIDIA CUDA cores and 32 Tensor cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003cbr\u003e1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd\u003e1x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 102.4 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eSupports external NVMe via PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e10W - 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMechanical\u003c\/td\u003e\n\u003ctd\u003e45 mm x 69.6 mm\u003cbr\u003e260 pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bdf-tb\"\u003e\n\u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"4\"\u003eDownloads\u003c\/div\u003e\n\u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-y94g1tg\" data-tab=\"4\"\u003e\n\u003csection data-id=\"gkncdjw\" class=\"bdf-e bdf-e-gkncdjw bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e\n\u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e\n\u003cdiv class=\"bdf-r\"\u003e\n\u003cdiv data-id=\"jmazoxr\" class=\"bdf-e bdf-e-jmazoxr bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e\n\u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e\n\u003cdiv class=\"bdf-w-wrp\"\u003e\n\u003cdiv data-id=\"rnmjjsw\" class=\"bdf-e bdf-e-rnmjjsw bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/jetson-orin-nx-datasheet-nvidia-us-web-2605318-5.pdf?v=1695204457\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eDatasheet\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"ff3v58i\" class=\"bdf-e bdf-e-ff3v58i bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/downloads\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct Download\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"wnxmedk\" class=\"bdf-e bdf-e-wnxmedk bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/forums.developer.nvidia.com\/c\/agx-autonomous-machines\/jetson-embedded-systems\/70\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct FAQ\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"7j4k7vo\" class=\"bdf-e bdf-e-7j4k7vo bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/tools\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTools\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-id=\"pt6hogd\" class=\"bdf-e bdf-e-pt6hogd bdf-w bdf-w-button\" data-el=\"button.default\"\u003e\n\u003cdiv class=\"bdf-w-ctr\"\u003e\n\u003cdiv class=\"bdf-btn-wrp\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/learn\/tutorials\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTutoriais\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e"}